Learning Rate: 0.001

Subject Number: 1
Accuracy Cross: [0.75, 0.7142857142857143, 0.7023809523809523, 0.7857142857142857, 0.7380952380952381, 0.9642857142857143, 0.9642857142857143, 0.9404761904761905, 0.9523809523809523, 0.9404761904761905, 1.0, 0.9880952380952381, 0.9880952380952381, 0.9761904761904762, 0.9761904761904762]
  mean: 0.8920634921, std: 0.1112923692
F1 Score: [0.7333333333333334, 0.6888888888888889, 0.6734566941377702, 0.7754010695187166, 0.71880706025563, 0.9642401021711366, 0.9642806520198441, 0.9402645427392974, 0.9522727272727273, 0.9402645427392974, 1.0, 0.9880935506732813, 0.9880935506732813, 0.9761769710720363, 0.9761769710720363]
  mean: 0.8853167104, std: 0.1211472507
Accuracy Intime: [1.0, 1.0, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 0.96875, 0.9705882352941176, 1.0, 1.0, 0.9411764705882353, 0.96875]
  mean: 0.9840686275, std: 0.0212861685
F1 In Time: [1.0, 1.0, 1.0, 0.9403508771929825, 1.0, 1.0, 1.0, 0.970357454228422, 1.0, 0.9687194525904204, 0.9705627705627706, 1.0, 1.0, 0.9403508771929825, 0.9687194525904204]
  mean: 0.9839373923, std: 0.0215222389
--------------------------------------------------
Subject Number: 2
Accuracy Cross: [0.8571428571428571, 0.8928571428571429, 0.7976190476190477, 0.7976190476190477, 0.9285714285714286, 0.9166666666666666, 0.9523809523809523, 0.9285714285714286, 0.9285714285714286, 0.9285714285714286, 0.9642857142857143, 0.9642857142857143, 0.9404761904761905, 0.9880952380952381, 0.9880952380952381]
  mean: 0.9182539683, std: 0.0574835523
F1 Score: [0.8541666666666667, 0.8916129032258064, 0.7889759125166248, 0.7889759125166248, 0.9282051282051282, 0.916083916083916, 0.9522727272727273, 0.9282051282051282, 0.9282051282051282, 0.9282051282051282, 0.9642401021711366, 0.9642401021711366, 0.9402645427392974, 0.9880935506732813, 0.9880935506732813]
  mean: 0.9166560266, std: 0.0601284154
Accuracy Intime: [1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 0.9705882352941176, 0.96875]
  mean: 0.9919117647, std: 0.0134212159
F1 In Time: [1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 0.970357454228422, 0.9687194525904204]
  mean: 0.9918769209, std: 0.0134772404
--------------------------------------------------
Subject Number: 3
Accuracy Cross: [0.5595238095238095, 0.5952380952380952, 0.7976190476190477, 0.75, 0.6071428571428571, 0.9523809523809523, 0.9285714285714286, 0.8928571428571429, 0.9642857142857143, 0.9523809523809523, 0.7857142857142857, 0.8333333333333334, 0.7976190476190477, 0.7976190476190477, 0.7976190476190477]
  mean: 0.8007936508, std: 0.1263226821
F1 Score: [0.4534904167399332, 0.5159322033898305, 0.7889759125166248, 0.7333333333333334, 0.5354449472096531, 0.9522727272727273, 0.9285309132161089, 0.8916129032258064, 0.9642401021711366, 0.9523809523809523, 0.7754010695187166, 0.8285714285714285, 0.7889759125166248, 0.7909530083443127, 0.7889759125166248]
  mean: 0.7792727829, std: 0.1568259554
Accuracy Intime: [1.0, 1.0, 0.8235294117647058, 0.9117647058823529, 0.90625, 0.8823529411764706, 1.0, 0.8529411764705882, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9705882352941176, 0.96875]
  mean: 0.9504901961, std: 0.0577274828
F1 In Time: [1.0, 1.0, 0.8131868131868132, 0.9098143236074271, 0.9054187192118226, 0.880701754385965, 1.0, 0.8464317976513098, 1.0, 1.0, 0.970357454228422, 0.9705627705627706, 1.0, 0.970357454228422, 0.9687194525904204]
  mean: 0.9490367026, std: 0.0602423023
--------------------------------------------------
Subject Number: 4
Accuracy Cross: [0.9642857142857143, 0.9285714285714286, 0.9166666666666666, 0.9047619047619048, 0.9047619047619048, 0.9285714285714286, 0.9523809523809523, 0.9404761904761905, 0.9642857142857143, 0.8690476190476191, 0.8571428571428571, 0.9047619047619048, 0.9523809523809523, 0.8452380952380952, 0.8690476190476191]
  mean: 0.9134920635, std: 0.0377631024
F1 Score: [0.9642401021711366, 0.9282051282051282, 0.916083916083916, 0.9038901601830663, 0.9038901601830663, 0.9285309132161089, 0.9523539421440725, 0.9404677533664068, 0.9642806520198441, 0.8681318681318682, 0.8541666666666667, 0.9038901601830663, 0.9522727272727273, 0.8414403949470016, 0.86676279740447]
  mean: 0.9125738228, std: 0.0387832747
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.96875, 0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 1.0]
  mean: 0.9841911765, std: 0.0147944636
F1 In Time: [0.970357454228422, 1.0, 1.0, 0.970357454228422, 1.0, 1.0, 1.0, 1.0, 0.970357454228422, 0.9687194525904204, 0.9705627705627706, 0.970357454228422, 0.9705627705627706, 0.970357454228422, 1.0]
  mean: 0.9841088177, std: 0.0148706222
--------------------------------------------------
Subject Number: 5
Accuracy Cross: [0.7976190476190477, 0.7619047619047619, 0.7857142857142857, 0.7619047619047619, 0.7619047619047619, 0.9166666666666666, 0.9523809523809523, 0.9285714285714286, 0.9523809523809523, 0.9523809523809523, 0.7619047619047619, 0.9047619047619048, 0.8214285714285714, 0.8690476190476191, 0.8452380952380952]
  mean: 0.8515873016, std: 0.0748980999
F1 Score: [0.7909530083443127, 0.7529411764705882, 0.78125, 0.7475961538461539, 0.750445632798574, 0.9163703598350164, 0.9522727272727273, 0.9285714285714286, 0.9523809523809523, 0.9522727272727273, 0.750445632798574, 0.9045454545454545, 0.8155467720685112, 0.8685819940264543, 0.8414403949470016]
  mean: 0.8470409610, std: 0.0793185316
Accuracy Intime: [1.0, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 0.96875, 0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 1.0, 0.96875]
  mean: 0.9762254902, std: 0.0192967042
F1 In Time: [1.0, 0.9705627705627706, 0.9409722222222222, 1.0, 1.0, 1.0, 0.970357454228422, 0.9705627705627706, 0.9705627705627706, 0.9687194525904204, 0.970357454228422, 0.970357454228422, 0.9409722222222222, 1.0, 0.9687194525904204]
  mean: 0.9761429349, std: 0.0193628546
--------------------------------------------------
Subject Number: 6
Accuracy Cross: [0.8928571428571429, 0.8214285714285714, 0.8809523809523809, 0.9642857142857143, 0.8928571428571429, 0.9642857142857143, 0.9166666666666666, 0.8809523809523809, 0.9047619047619048, 0.9761904761904762, 0.8690476190476191, 0.7619047619047619, 0.8214285714285714, 0.8928571428571429, 0.8690476190476191]
  mean: 0.8873015873, std: 0.0554761337
F1 Score: [0.8916129032258064, 0.8155467720685112, 0.8808848553601816, 0.9642806520198441, 0.8916129032258064, 0.9642806520198441, 0.916083916083916, 0.879862700228833, 0.9045454545454545, 0.9761769710720363, 0.86676279740447, 0.7551020408163265, 0.8155467720685112, 0.8916129032258064, 0.86676279740447]
  mean: 0.8853783394, std: 0.0574983255
Accuracy Intime: [0.9411764705882353, 1.0, 1.0, 1.0, 0.96875, 0.9705882352941176, 1.0, 0.9705882352941176, 1.0, 1.0, 0.7941176470588235, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9743872549, std: 0.0513674854
F1 In Time: [0.9411764705882353, 1.0, 1.0, 1.0, 0.9687194525904204, 0.9705627705627706, 1.0, 0.9705627705627706, 1.0, 1.0, 0.7895667550839964, 0.9705627705627706, 1.0, 1.0, 1.0]
  mean: 0.9740767327, std: 0.0524342416
--------------------------------------------------
Subject Number: 7
Accuracy Cross: [0.9523809523809523, 0.8809523809523809, 0.9523809523809523, 0.9642857142857143, 0.9285714285714286, 0.9880952380952381, 0.8571428571428571, 0.9404761904761905, 0.9523809523809523, 0.9761904761904762, 0.7976190476190477, 0.8452380952380952, 0.9047619047619048, 0.9166666666666666, 0.9404761904761905]
  mean: 0.9198412698, std: 0.0517031666
F1 Score: [0.9523539421440725, 0.8808848553601816, 0.9522727272727273, 0.9642806520198441, 0.928409090909091, 0.9880935506732813, 0.8541666666666667, 0.9404001702852277, 0.9523809523809523, 0.9761769710720363, 0.7889759125166248, 0.8425378514780101, 0.9047078842881452, 0.9163703598350164, 0.9404001702852277]
  mean: 0.9188274505, std: 0.0535732255
Accuracy Intime: [0.9411764705882353, 0.9705882352941176, 0.9411764705882353, 1.0, 0.96875, 0.9411764705882353, 1.0, 1.0, 0.9117647058823529, 0.96875, 0.8823529411764706, 0.9411764705882353, 0.9117647058823529, 1.0, 0.96875]
  mean: 0.9564950980, std: 0.0352677257
F1 In Time: [0.9409722222222222, 0.970357454228422, 0.9411764705882353, 1.0, 0.9687194525904204, 0.9409722222222222, 1.0, 1.0, 0.9116883116883117, 0.9687194525904204, 0.880701754385965, 0.9409722222222222, 0.9110723626852659, 1.0, 0.9687194525904204]
  mean: 0.9562714252, std: 0.0355747741
--------------------------------------------------
Subject Number: 8
Accuracy Cross: [0.9404761904761905, 0.9642857142857143, 0.9761904761904762, 0.9761904761904762, 0.9761904761904762, 0.9880952380952381, 0.9880952380952381, 0.9642857142857143, 0.9880952380952381, 0.9880952380952381, 0.9642857142857143, 0.9761904761904762, 0.9523809523809523, 0.9642857142857143, 0.9642857142857143]
  mean: 0.9714285714, std: 0.0136082763
F1 Score: [0.9402645427392974, 0.9642806520198441, 0.9761769710720363, 0.9761769710720363, 0.9761904761904762, 0.9880935506732813, 0.9880935506732813, 0.9642401021711366, 0.9880935506732813, 0.9880935506732813, 0.9642401021711366, 0.9761769710720363, 0.9522727272727273, 0.9642401021711366, 0.9642401021711366]
  mean: 0.9713915949, std: 0.0136555616
Accuracy Intime: [0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0]
  mean: 0.9921568627, std: 0.0130063717
F1 In Time: [0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 0.9705627705627706, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0]
  mean: 0.9921500722, std: 0.0130176327
--------------------------------------------------
Subject Number: 9
Accuracy Cross: [0.9880952380952381, 1.0, 0.9880952380952381, 0.9404761904761905, 0.8452380952380952, 0.8571428571428571, 0.8809523809523809, 0.8571428571428571, 0.8809523809523809, 0.8928571428571429, 0.8095238095238095, 0.9404761904761905, 0.8928571428571429, 0.8571428571428571, 0.8928571428571429]
  mean: 0.9015873016, std: 0.0555782267
F1 Score: [0.9880935506732813, 1.0, 0.9880935506732813, 0.9402645427392974, 0.8414403949470016, 0.8541666666666667, 0.879862700228833, 0.8550891316848763, 0.879862700228833, 0.8916129032258064, 0.8023529411764705, 0.9402645427392974, 0.8916129032258064, 0.8541666666666667, 0.8916129032258064]
  mean: 0.8998997399, std: 0.0571360165
Accuracy Intime: [1.0, 1.0, 1.0, 1.0, 0.96875, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959558824, std: 0.0103159782
F1 In Time: [1.0, 1.0, 1.0, 1.0, 0.9687194525904204, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9959521482, std: 0.0103255236
--------------------------------------------------
Subject Number: 10
Accuracy Cross: [0.9166666666666666, 0.8928571428571429, 0.8690476190476191, 0.9404761904761905, 0.8690476190476191, 0.9761904761904762, 0.9642857142857143, 0.9761904761904762, 0.9642857142857143, 0.9523809523809523, 0.9166666666666666, 0.9404761904761905, 0.9166666666666666, 0.8571428571428571, 0.8452380952380952]
  mean: 0.9198412698, std: 0.0429158915
F1 Score: [0.916083916083916, 0.8916129032258064, 0.86676279740447, 0.9404001702852277, 0.8675268817204301, 0.9761904761904762, 0.9642806520198441, 0.9761904761904762, 0.9642806520198441, 0.9523539421440725, 0.9165602383993188, 0.9404677533664068, 0.916083916083916, 0.8568181818181818, 0.8425378514780101]
  mean: 0.9192100539, std: 0.0436173435
Accuracy Intime: [1.0, 1.0, 0.9705882352941176, 1.0, 1.0, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9901960784, std: 0.0175377881
F1 In Time: [1.0, 1.0, 0.970357454228422, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9409722222222222, 1.0, 1.0, 1.0, 1.0, 0.970357454228422, 1.0, 1.0]
  mean: 0.9901499934, std: 0.0176122128
--------------------------------------------------
Subject Number: 11
Accuracy Cross: [0.9642857142857143, 0.9523809523809523, 0.9047619047619048, 0.9166666666666666, 0.8928571428571429, 0.9642857142857143, 0.9166666666666666, 1.0, 0.9761904761904762, 1.0, 0.9880952380952381, 0.9642857142857143, 0.9880952380952381, 0.9523809523809523, 0.9761904761904762]
  mean: 0.9571428571, std: 0.0333333333
F1 Score: [0.9642806520198441, 0.9522727272727273, 0.9038901601830663, 0.916083916083916, 0.8916129032258064, 0.9642401021711366, 0.916083916083916, 1.0, 0.9761769710720363, 1.0, 0.9880935506732813, 0.9642401021711366, 0.9880935506732813, 0.9523539421440725, 0.9761904761904762]
  mean: 0.9569075313, std: 0.0336785575
Accuracy Intime: [1.0, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 0.9705882352941176, 0.9705882352941176, 0.9705882352941176, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9921568627, std: 0.0130063717
F1 In Time: [1.0, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 0.9705627705627706, 0.9705627705627706, 0.9705627705627706, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
  mean: 0.9921500722, std: 0.0130176327
--------------------------------------------------
Subject Number: 12
Accuracy Cross: [0.9166666666666666, 0.8333333333333334, 0.9523809523809523, 0.9404761904761905, 0.8690476190476191, 0.9404761904761905, 0.9047619047619048, 0.8452380952380952, 0.8571428571428571, 0.8452380952380952, 0.9166666666666666, 0.9166666666666666, 0.9523809523809523, 0.9166666666666666, 0.9166666666666666]
  mean: 0.9015873016, std: 0.0394756512
F1 Score: [0.916083916083916, 0.8285714285714285, 0.9522727272727273, 0.9402645427392974, 0.86676279740447, 0.9404677533664068, 0.9042735042735043, 0.8414403949470016, 0.8541666666666667, 0.8414403949470016, 0.9165602383993188, 0.9165602383993188, 0.9523809523809523, 0.9165602383993188, 0.9165602383993188]
  mean: 0.9002910688, std: 0.0410476362
Accuracy Intime: [0.9411764705882353, 1.0, 0.9705882352941176, 1.0, 0.9375, 1.0, 1.0, 0.9705882352941176, 1.0, 0.90625, 1.0, 1.0, 0.9705882352941176, 1.0, 1.0]
  mean: 0.9797794118, std: 0.0290029803
F1 In Time: [0.9411764705882353, 1.0, 0.9705627705627706, 1.0, 0.9372549019607843, 1.0, 1.0, 0.9705627705627706, 1.0, 0.9054187192118226, 1.0, 1.0, 0.9705627705627706, 1.0, 1.0]
  mean: 0.9797025602, std: 0.0291692008
--------------------------------------------------
Subject Number: 13
Accuracy Cross: [0.8452380952380952, 0.9285714285714286, 0.8452380952380952, 0.8571428571428571, 0.8333333333333334, 0.9523809523809523, 0.9523809523809523, 0.9166666666666666, 0.9523809523809523, 0.9642857142857143, 0.9642857142857143, 0.9523809523809523, 0.9523809523809523, 1.0, 0.9404761904761905]
  mean: 0.9238095238, std: 0.0506570584
F1 Score: [0.8414403949470016, 0.928409090909091, 0.8414403949470016, 0.8550891316848763, 0.8285714285714285, 0.9522727272727273, 0.9522727272727273, 0.9166548547129695, 0.9523539421440725, 0.9642401021711366, 0.9642401021711366, 0.9522727272727273, 0.9522727272727273, 1.0, 0.9402645427392974]
  mean: 0.9227863263, std: 0.0521658857
Accuracy Intime: [0.9705882352941176, 0.9705882352941176, 0.9411764705882353, 1.0, 1.0, 0.9705882352941176, 0.9411764705882353, 0.9705882352941176, 0.9705882352941176, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9117647058823529, 1.0]
  mean: 0.9725490196, std: 0.0273105652
F1 In Time: [0.9705627705627706, 0.9705627705627706, 0.9403508771929825, 1.0, 1.0, 0.9705627705627706, 0.9411764705882353, 0.970357454228422, 0.9705627705627706, 1.0, 0.9411764705882353, 1.0, 1.0, 0.9116883116883117, 1.0]
  mean: 0.9724667111, std: 0.0273873935
--------------------------------------------------
Subject Number: 14
Accuracy Cross: [0.8452380952380952, 0.8809523809523809, 0.8690476190476191, 0.9404761904761905, 0.9285714285714286, 0.9642857142857143, 0.9761904761904762, 0.9642857142857143, 0.9642857142857143, 0.9880952380952381, 0.5357142857142857, 0.5476190476190477, 0.5595238095238095, 0.5119047619047619, 0.5]
  mean: 0.7984126984, std: 0.1934522792
F1 Score: [0.8414403949470016, 0.8803418803418803, 0.8675268817204301, 0.9402645427392974, 0.9282051282051282, 0.9642401021711366, 0.9761769710720363, 0.9642401021711366, 0.9642401021711366, 0.9880935506732813, 0.408130081300813, 0.43121881682109764, 0.4534904167399332, 0.3592558139534884, 0.3333333333333333]
  mean: 0.7533465412, std: 0.2562811172
Accuracy Intime: [0.9411764705882353, 1.0, 0.9411764705882353, 1.0, 0.9375, 1.0, 0.9705882352941176, 0.9117647058823529, 1.0, 0.84375, 1.0, 1.0, 0.9411764705882353, 1.0, 0.96875]
  mean: 0.9637254902, std: 0.0436580775
F1 In Time: [0.9409722222222222, 1.0, 0.9403508771929825, 1.0, 0.9372549019607843, 1.0, 0.9705627705627706, 0.9110723626852659, 1.0, 0.8398398398398399, 1.0, 1.0, 0.9403508771929825, 1.0, 0.9687194525904204]
  mean: 0.9632748869, std: 0.0445051887
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**************************************************
accuracy_cross_list: [0.892063492063492, 0.9182539682539681, 0.8007936507936508, 0.9134920634920635, 0.8515873015873014, 0.8873015873015871, 0.9198412698412697, 0.9714285714285713, 0.9015873015873016, 0.9198412698412697, 0.9571428571428571, 0.9015873015873015, 0.9238095238095237, 0.7984126984126984]
f1_score_list: [0.8853167104378185, 0.9166560266354009, 0.7792727828615875, 0.912573822811903, 0.8470409610118985, 0.8853783393846546, 0.9188274504791403, 0.9713915948544082, 0.8998997398734616, 0.91921005389536, 0.9569075313309797, 0.9002910688167098, 0.9227863262725948, 0.7533465412240755]
accuracy_intime_list: [0.9840686274509804, 0.9919117647058824, 0.9504901960784314, 0.9841911764705883, 0.9762254901960785, 0.9743872549019609, 0.9564950980392157, 0.9921568627450981, 0.9959558823529412, 0.9901960784313726, 0.9921568627450981, 0.979779411764706, 0.9725490196078431, 0.9637254901960784]
f1_in_time_list: [0.9839373922905331, 0.991876920909179, 0.9490367026435582, 0.9841088176572047, 0.9761429349332574, 0.9740767326633974, 0.9562714252009419, 0.9921500721500721, 0.9959521482102127, 0.9901499934161225, 0.9921500721500721, 0.9797025602299436, 0.9724667111024846, 0.9632748869498179]
**************************************************
Mean Accuracy: 0.8969387755
Mean F1: 0.8906356393
Std Accuracy: 0.0484330067
Std F1: 0.0586163275
Mean Accuracy (Intime): 0.9788778011
Std Accuracy (Intime): 0.0136329230
Mean F1 (Intime): 0.9786640979
Std F1 (Intime): 0.0139117246
ACC: 89.69±4.84
F1: 89.06±5.86
Intime: 97.89±1.36
F1 (Intime): 97.87±1.39
